The Progress Test of the European Hematology Association: A New Tool for Continuous Learning.

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The Progress Test of the European Hematology Association: A New Tool for Continuous Learning

The European Hematology Curriculum, first launched in 2006, was created by the European Hematology Association (EHA) with the aim of harmonizing hema tology training in Europe. Its goals were to define the different areas hematologists are expected to cover during their training, and to establish the minimum recommended levels of competence that a hematology trainee should attain. EHA's education platform (EHA Campus) offers opportu nities for continuous learning for both trainees and specialists. Content is guided by the European Hematology Curriculum, which provides a structure for individual study and self-assess ment. To complete this organized learning environment, a tool for objective assessment of knowledge during and after specialist training was needed. In the spring of 2020, EHA started offering a progress test: a longitudinal test based on equivalent evalua tions given at fixed intervals, assessing developments in knowl edge. The EHA Progress Test was inspired by an earlier version developed by the Swedish Hematology Association in 2013, which has become widely used by specialist trainees and spe cialists in Sweden. Noticeable pedagogical effects, like targeted study efforts in weak knowledge areas, changes in clinical rota tions, and more have been reported in personal questionnaires

Selection of unidimensional scales from a multidimensional item bank in the polytomous Mokken IRT model

An automated item selection procedure for selecting unidimensional scales of polytomous items from multidimensional datasets is developed for use in the context of the Mokken item response theory model of monotone homogeneity (Mokken & Lewis, 1982). The selection procedure is directly based on the selection procedure proposed by Mokken (1971, p. 187) and relies heavily on the scalability coefficient H (Loevinger, 1948; Molenaar, 1991). New theoretical results relating the latent model structure to H are provided. The item selection procedure requires selection of a lower bound for H. A simulation study determined ranges of H for which the unidimensional item sets were retrieved from multidimensional datasets. If multidimensionality is suspected in an empirical dataset, well-chosen lower bound values can be used effectively to detect the unidimensional scales. Index terms: item response theory, Mokken model, multidimensional item banks, nonparametric item response models, scalability coefficient H, test construction, unidimensional scales

Nonparametric polytomous IRT models for invariant item ordering, with results for parametric models

invariant item ordering, item response theory, nonparametric polytomous IRT models, parametric polytomous IRT models,